Platform · CareerBuilder

CareerBuilder Data Scraping

Two brands under one owner can carry the same job twice. The owner is one hiring signal, not two.

CareerBuilder data scraping collects public job postings from careerbuilder.com. Since August 2025 it has been owned by BOLD, together with Monster, after both went through bankruptcy; they run as separate brands. Because postings can appear on both, each carries a cross-brand key and is counted once. The Canadian entity entered bankruptcy in 2025; coverage is the US site. Postings are deduplicated to one vacancy, salary stays empty where it is not published, and no candidate data, recruiter contact or login-only network is ever collected.

Consolidation among boards changes how many copies of a job exist, not how many jobs exist.

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Free pilot on your own CareerBuilder list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

careerbuilder_sample.jsonl LIVE FEED

{"posting_key":"pk-30117","brand":"careerbuilder","cross_brand_key":"cb-5521"} {"counted_once":true,"sources_seen":3} {"ownership_event":"sold to BOLD","event_date":"2025-08-01"}

illustrative sample rows · USone owner, two brands · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to CareerBuilder or its owners. CareerBuilder and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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CareerBuilder at a glance

How we handle CareerBuilder specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Site: careerbuilder.com — BOLD since Aug 2025
Sister brand: Monster, same owner
So: cross-brand key; counted once
Bankruptcy: Chapter 11, Jun 2025
Canada: Entity in bankruptcy, 2025
Coverage: US site
Pay: Null if unpublished
Refresh: Daily

Platform specifics

One owner, two brands

These are the reasons a CareerBuilder dataset needs its own handling rather than a shared retail schema.

Cross-brand matching

Matching uses employer, normalised title, location and description similarity, the same as across any boards.

cross_brand_key linking CareerBuilder and Monster copies.
brand on every posting.
ownership_event dated.
market — US; Canada recorded as historical.

Owner, and what we do not do

Owner

BOLD also owns resume and career-content products; those are not job boards and are not collected. See our Monster page.

Duplicates

Copies are collapsed to one canonical posting with every source counted, as the recruitment hub describes.

What we do not do

Count cross-brand copies twice, collect resumes or candidate data, use accounts, or collect recruiter contacts.

Scope

What we collect on CareerBuilder, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Cross-brand key with Monster
Brand on every posting
Ownership events dated
US coverage; Canada historical
Pay only where published
Agency postings flagged
Lifecycle dates
Reposts linked
Daily refresh

❌ What we do not, and why

Cross-brand copies counted twice
Resumes or candidate data
Accounts
Recruiter contacts
Resume products collected

Core CareerBuilder fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
posting_key	Canonical identity
brand	careerbuilder
cross_brand_key	Monster
title_raw / title_normalised	As posted; taxonomy
company / company_domain	As posted; resolved
salary_min / max / currency / period	Null if unpublished
location / work_mode	As posted
is_agency_posting	Flag
ownership_event	Dated
first_seen / closed_at	Dates
sources_seen	Count

Use cases

What teams do with CareerBuilder data

US hiring demand

Counted once across brands.

Board overlap analysis

How much the two brands share.

Employer tracking

By domain.

Market structure

After consolidation.

The 24-hour sample — run on your sources, not ours

Send us a CareerBuilder item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

CareerBuilder is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. CareerBuilder data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what jobs & recruitment data covers, and a CareerBuilder-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

CareerBuilder data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

BOLD, since August 2025, alongside Monster.

No. They share a cross-brand key.

The Canadian entity entered bankruptcy in 2025; it is recorded as historical.

Never.

No.

Usually part of a US board set.

Talk to us.

See real CareerBuilder data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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